14,919
Document management
2024-01-24
Send AI
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By unverified author. Claim this AI
AI powered document handling and data processing.
Overview
Document management#7 most recent
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Send AI provides a document processing infrastructure that aims to streamline business workflow by automating document management tasks. The platform has capabilities to parse, classify, extract, validate, and export data from documents.
Users can train and configure their own AI models using Send AI's systems to extract information from documents and export it directly into their own systems.
To ensure accuracy, it allows users to apply custom validation logic in the process. The tool supports Optical Character Recognition (OCR) which transforms scanned images into readable text while retaining the original structure.
Data extraction using a custom language model trained on a small set is also offered, ensuring high accuracy of extracted entities. A unique feature included in the toolset is model training, which allows users to tailor language models to their specific needs and use cases.
This model training feature enables the recognition and extraction of specific entities from documents. Data export is optimised for user preferences, ensuring that exported entities match given data types with a validation feature called Type Checking.
Send AI allows users to stay in control of exported data through an easy-to-use interface, providing options for quick corrections and edits. The system learns from user's feedback resulting in continuous improvement of data exports.
It's designed to work across multiple sectors including Insurance, Retail, Transport & Logistics, and Government. Data security standards are prioritised, offering features like encryption, single-tenant storage, adherence to GDPR, and ISO/SOC2 infrastructure.
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Send AI was manually vetted by our editorial team and was first featured on May 27th 2024.
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Pros and Cons
Pros
Document processing automation
Data parsing
Data classification
Data extraction
Data validation
Data export
Custom validation logic
Optical Character Recognition (OCR)
Preserves original text structure
High accuracy on small datasets
Language model training
Tailor-made language models
Entity recognition in documents
Export optimization
Type Checking validation
User-friendly interface for quick corrections
Continuous improvement from user feedback
Supports multiple sectors
High data security standards
Data encryption
Single-tenant storage
GDPR compliance
ISO/SOC2 infrastructure
Reduction in errors and costs
Document type detection
Custom logic validation
Data enrichment
Fast corrections on exports
Scanner to text capabilities
Auto improvements on feedback
Data extraction mode
Cons
Limited training set size
Type checking might be restrictive
Complex configuration required
Training models might be time-consuming
Heavy reliance on user feedback
Model personalisation might limit scalability
Limited integration options
Specific document types not supported
Manual corrections required
Requires bespoke fine tuning
Q&A
What is Send AI and what does it do?
Send AI is a platform that provides a document processing infrastructure. It streamlines business workflow by automating document management tasks, including parsing, classifying, extracting, validating, and exporting data from documents. Users can train and configure their own AI models for information extraction and data export.
How does Send AI streamline business workflows?
Send AI streamlines business workflows by allowing users to automate document management tasks. This includes scanning and converting documents into text using Optical Character Recognition (OCR), parsing and classifying documents, extracting pertinent information, validating the extracted information, and exporting the data directly into the user's own systems.
Can I train and configure my own AI models with Send AI?
Yes, users can definitely train and configure their own AI models with Send AI. This functionality empowers users to extract specific information from documents tailored to their unique needs.
What is the process for data extraction from documents in Send AI?
Data extraction from documents in Send AI works through the use of custom trained language models. The system parses and identifies key information, entities, from the documents based on the training provided to the AI model. It can extract data with high accuracy in no time.
How does Send AI ensure the accuracy of data extraction?
To ensure the accuracy of data extraction, Send AI applies custom validation logic and a feature called Type Checking. This ensures that the extracted entities match the specific data types set by the user. The easy to use interface also allows for quick corrections and edits if needed.
What is Optical Character Recognition and how is it used in Send AI?
Optical Character Recognition (OCR) is a technology that transforms scanned images or documents into machine-readable text. In Send AI, OCR is applied to convert images or scans into readable text, preserving the original structure of the document.
How does the custom language model in Send AI work?
The custom language model in Send AI works by training on a small set of data. Users can tailor these models to their specific needs and use cases. Once turned on, entities will be extracted automatically from documents with high accuracy.
What is the model training feature in Send AI and how does it benefit users?
The model training feature in Send AI allows users to tailor language models to their particular needs. This allows for the recognition and extraction of specific entities from documents, essentially increasing efficiency and effectiveness for users dealing with particular types of data or information.
What data types can be exported using Send AI?
Send AI allows for the export of data across various types. The export process is optimised according to user preferences and comes with a validation feature called Type Checking to ensure that exported entities match the given data types.
How does Send AI allow users to edit and correct exported data?
Send AI provides an easy-to-use interface that lets users have control over their exported data. It offers options for quick corrections and edits to ensure the accuracy and appropriateness of the data.
Does Send AI learn and improve from user feedback?
Yes, Send AI is designed to learn from user feedback. This function allows the system to improve the accuracy and quality of data exports continuously.
Can Send AI be used in various sectors like Insurance and Retail?
Absolutely, Send AI can be used across a range of sectors such as Insurance, Retail, Transport & Logistics, and Government. It's adaptive to various industry use-cases due to its customisable AI models.
How does Send AI prioritize data security standards?
Data security standards are a priority in Send AI. It offers features like encryption and single-tenant storage, and the system's architecture is compliant with GDPR, and ISO/SOC2, ensuring that user's data is secure.
What are the encryption, single-tenant storage, GDPR, and ISO/SOC2 infrastructure features in Send AI?
Encryption in Send AI ensures your data is secure while single-tenant storage ensures your data is stored separately from other users. GDPR compliance means that user data is handled according to European Union's data protection laws. The ISO/SOC2 infrastructure denotes that Send AI meets international standards on managing privacy and security risks.
What is the Type Checking validation feature in Send AI?
Type Checking is a validation feature in Send AI. It ensures that entities extracted from documents match the specific data types as defined by the user, ensuring accurate data export.
How can users apply custom validation logic in Send AI?
Users can apply custom validation logic in Send AI to ensure 99.99% export accuracy. It tailors the extracted information to match their unique needs, helping structure and enrich the data to fit right into their systems.
How does Send AI's document classification feature work?
Send AI’s document classification feature uses finetuned language models to detect document types and subsequently extract key information from the documents. This feature aids in organizing and managing large volumes of documents by grouping them based on their content or characteristics.
What sectors does Send AI serve and what are the use cases?
Send AI serves multiple sectors including Insurance, Retail, Transport & Logistics, and Government. For each sector, it can streamline document processing tasks, support vision and language model training for custom data extraction, reduce manual copy+paste work, and ensure user remains in control of their data while the system learns and improves based on feedback.
How does Send AI's data validation process work?
The data validation process in Send AI involves custom logic to validate the extracted predictions from documents before exporting. It ensures 99.99% export accuracy, allowing the data to fit seamlessly into user systems.
What integrations does Send AI offer and how easy is it to implement them?
Send AI allows secure connection via APIs and supports integrations with user systems. The scale and nature of integrations are not specified explicitly, but the platform's design implies that implementing them would be a straightforward and quick process.
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